At 16:30, could you please explain what exactly did the user Zzh-tju comment? The first couple of sentences of his comment is somewhat understandable, but then it was just confusing. Could you please elaborate on that? Please be as detailed as possible. Thank you in advance!
When you do optimization using pytorch, auto differentiation (pytorch.org/tutorials/beginner/basics/autogradqs_tutorial.html) is used. Zzh-tju is suggesting that the gradients computed by the auto-diff are not same as one would compute by hand (in his case done in c and matlab) for some corner cases. These corner cases seem to influence the outcomes.
I don’t comment that often on UA-cam. I just came across your channel and I see you put a lot of effort in the content and the presentations as well. Your intuition is well aligned with mine in many videos . Good work ! Keep it up. Question: what software do you use for presentation (Manim, Adobe After Effects , etc ). The quality is good.
@abdelwahedkhamiss in this tutorial, I have used manim for animation and equations. In others, I used latex. Yes, latex editor in PowerPoint is not well done at all.
Hi great video! I would love to ask how did you manage to make the visualization of those convergence? I'm working on a similar topic, and I would love to try it on my modified loss
I created a dataset of many million crop (mask and boundings box) to train mask-rcnn. It would be fun to see if mask-rcnn using giou would have an impact.
![Lp. Сердце Вселенной #60 РОЖДЕНИЕ ЛОЛОЛОШКИ [Финал] • Майнкрафт](http://i.ytimg.com/vi/YoR0pAV9FVQ/mqdefault.jpg)
Just amazing. Could not have explained it any better. Thank you so much.
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At 16:30, could you please explain what exactly did the user Zzh-tju comment? The first couple of sentences of his comment is somewhat understandable, but then it was just confusing. Could you please elaborate on that? Please be as detailed as possible. Thank you in advance!
When you do optimization using pytorch, auto differentiation (pytorch.org/tutorials/beginner/basics/autogradqs_tutorial.html) is used. Zzh-tju is suggesting that the gradients computed by the auto-diff are not same as one would compute by hand (in his case done in c and matlab) for some corner cases. These corner cases seem to influence the outcomes.
Thank you for these very clear and visually efficient explanations. I'll make sure to use these concepts in my PhD work !
good video glad you’re back, hoping to see initiating the training loop video soon
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Great content, keep it up. Thanks to these videos, my study of object detection is going much smoother.
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Great explanation. Thanks for sharing the video
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Great content with a lot of optimization sir, hoping to see a videos related to vision transformers for object detection
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Sir please continue posting video it's really helpful
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I don’t comment that often on UA-cam. I just came across your channel and I see you put a lot of effort in the content and the presentations as well. Your intuition is well aligned with mine in many videos . Good work ! Keep it up. Question: what software do you use for presentation (Manim, Adobe After Effects , etc ). The quality is good.
🙏 I use manim for very specific animations but 99% of time it is just PowerPoint. No after effects etc.
Impressive !. The equations are done in Manim or PowerPoint ? Last I recall the equations by PowerPoint equation editor don’t look that great.
@abdelwahedkhamiss in this tutorial, I have used manim for animation and equations. In others, I used latex. Yes, latex editor in PowerPoint is not well done at all.
Hi great video! I would love to ask how did you manage to make the visualization of those convergence? I'm working on a similar topic, and I would love to try it on my modified loss
I used manim to generate the animation. www.manim.community
@@KapilSachdeva never heard about it but I just installed it.. if it possible, would you provide me your code pls?
It's really amazing job here. Thank you so much
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Thanks for sharing -- thanks :)
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I created a dataset of many million crop (mask and boundings box) to train mask-rcnn. It would be fun to see if mask-rcnn using giou would have an impact.
👍 😊